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Resume (English only)
Academic Achievements
- Publications: Multiple papers published in top international conferences such as ICML, ICLR, EMNLP, TMLR, ACL; PhD Thesis: 'On Actions that Matter: Credit Assignment and Interpretability in Reinforcement Learning'.
Research Experience
- Current Position: Research Scientist at Google DeepMind; Projects Involved: Bard and Gemini; Main Work: Implementation as part of the Gemma post-training team.
Education
- PhD: Google Brain and Inria Lille, advisors Olivier Pietquin and Philippe Preux; Engineering Degree: Télécom Paris, Computer Science and Applied Mathematics; M.Sc.: École Polytechnique, Machine Learning.
Background
- Research Interests: Reinforcement Learning and Large Language Models. Professional Field: Artificial Intelligence, Machine Learning.
Miscellany
- Personal Interests: Generative art, music, roguelikes, high-intensity interval training, and spicy food.
Co-authors: 0 (list not available)